finetuned_token_itr0_3e-05_all_16_02_2022-21_11_08

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2731
• Precision: 0.1928
• Recall: 0.3457
• F1: 0.2475
• Accuracy: 0.8826

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 3e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	30	0.3010	0.1330	0.2345	0.1697	0.8707
No log	2.0	60	0.2446	0.1739	0.2948	0.2188	0.8949
No log	3.0	90	0.2235	0.2446	0.3032	0.2708	0.9080
No log	4.0	120	0.2226	0.2670	0.3350	0.2972	0.9058
No log	5.0	150	0.2166	0.2779	0.3417	0.3065	0.9063

Framework versions

• Transformers 4.15.0
• Pytorch 1.10.1+cu113
• Datasets 1.18.0
• Tokenizers 0.10.3